Evidence map›Paper›PMID 42319390›Full record

ArticleCancer control : journal of the Moffitt Cancer Center

Neighborhood Characteristics and Digital Health Use and Attitudes in Black and Hispanic Women: Insights for Physical Activity and Sleep Interventions for Cancer Prevention.

Anita On, Feinuo Sun, Najmeh Ghalamsiah, Grace E Brannon, Christine Spadola, Kyrah K Brown, Gabriela Mustata Wilson, Yue Liao

Abstract read
In one paragraph

Article in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Anita OnDepartment of Kinesiology, College of Nursing and Health Innovation, University of Texas at Arlington, Arlington, TX, USA.ORCID 0009-0003-9678-1154
Feinuo SunDepartment of Kinesiology, College of Nursing and Health Innovation, University of Texas at Arlington, Arlington, TX, USA.ORCID 0000-0002-4871-450X
Najmeh GhalamsiahDepartment of Kinesiology, College of Nursing and Health Innovation, University of Texas at Arlington, Arlington, TX, USA.
Grace E BrannonDepartment of Communication, University of Texas Arlington, Arlington, TX, USA.ORCID 0000-0003-1116-9015
Christine SpadolaSchool of Social Work, University of Texas at Arlington, Arlington, TX, USA.
Kyrah K BrownDepartment of Kinesiology, College of Nursing and Health Innovation, University of Texas at Arlington, Arlington, TX, USA.
Gabriela Mustata WilsonDepartment of Kinesiology, College of Nursing and Health Innovation, University of Texas at Arlington, Arlington, TX, USA.ORCID 0000-0003-3090-9242
Yue LiaoDepartment of Kinesiology, College of Nursing and Health Innovation, University of Texas at Arlington, Arlington, TX, USA.ORCID 0000-0002-9384-336X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionDigital interventions for 24-hour movement patterns (i.e., physical activity, sedentary behavior, sleep) show promise for cancer prevention, particularly among Black and Hispanic women, who experience worse cancer outcomes and lower adherence to sleep and physical activity guidelines. This study examined whether neighborhood characteristics influence digital health use and attitudes among Black and Hispanic women and explored whether individual sociodemographic factors moderate these relationships.MethodsIn a secondary analysis of a cross-sectional study, a total of 992 Black and Hispanic women aged 18-49 completed an online survey assessing demographic factors, sleep quality, physical activity levels, digital health use, and attitudes towards digital health interventions for sleep and physical activity. Neighborhood-level data on socioeconomic status, racial composition, and access to health services were extracted from geocoded addresses. Multivariable binary logistic regression models tested associations between neighborhood characteristics and digital health outcomes. Moderation by age, race, and education was assessed.ResultsBlack and Hispanic women living in neighborhoods with low or moderate-to-high socioeconomic risk were more likely to own wearable devices than those in high-risk neighborhoods. Health app use was more common among Black and Hispanic women in neighborhoods with higher rates of adults having personal doctors and greater out-of-pocket medical expenses. Among women in medically underserviced neighborhoods, Black women were more likely to use a health app, while Hispanic women were less likely. Race, age, and education moderated the influence of access to health services and racial structures on interest in digital health interventions for physical activity and sleep.ConclusionNeighborhood characteristics such as socioeconomic status, healthcare access, and racial structures play a vital role in shaping digital health use and attitudes among Black and Hispanic women. Tailored digital interventions that consider neighborhood-level factors may improve adoption, engagement, and effectiveness, and ultimately reduce cancer risk in these populations.

Indexed as

Black or African AmericanExerciseHispanic or LatinoNeighborhood CharacteristicsNeoplasmsAdolescentAdultCross-Sectional StudiesDigital HealthFemaleHumansMiddle AgedSleepSocioeconomic Disparities in HealthYoung Adultcancer preventionexercisehealth applicationshealth disparitiesmHealthminority healthphysical activitysedentary behaviorsleepsocial determinants of healthwearable electronic deviceswomen’s health

Identifiers

PMID42319390
PMCPMC13305408

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.